Triple

T22303581
Position Surface form Disambiguated ID Type / Status
Subject Mertasari Beach E551317 entity
Predicate isPartOf P10 FINISHED
Object Sanur area NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sanur area | Statement: [Mertasari Beach, isPartOf, Sanur area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanur area
Context triple: [Mertasari Beach, isPartOf, Sanur area]
  • A. Sanur chosen
    Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
  • B. Nusa Dua
    Nusa Dua is a high-end resort area on the southern coast of Bali, Indonesia, known for its luxury hotels, beaches, and conference facilities.
  • C. Greater Kuta area
    The Greater Kuta area is a major tourist region in southern Bali encompassing Kuta, Legian, and surrounding beach districts known for their resorts, nightlife, and surfing beaches.
  • D. Tanjung Benoa
    Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
  • E. Legian
    Legian is a popular beach resort area on Bali’s southwest coast, known for its surfing-friendly waves, lively nightlife, and proximity to Kuta and Seminyak.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15725de488190a32006cd99dd4a67 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.